138 boosters for "auth" — open source, verified from GitHub, ready to install
"name": "openevidence-mcp", "description": "Unofficial MCP server for OpenEvidence — authenticated through your own logged-in browser tab via a Chromium relay extension (no API key, no Playwright). Fire-and-forget asks, a shared relay daemon for concurrent sessions, BibTeX + Crossref citations.", "m
"name": "gsd-agent-inbox", "description": "Give any AI agent a disposable email inbox in one tool call. MCP server for email verification, auth flows, and testing.", "main": "build/index.js",
Turn social media paper recommendations into actionable research items. Use platform-specific tools to fetch the full content: From the extracted content, identify all referenced papers:
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify:
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
Generate text files and export to PNG/SVG/PDF using (local) or Kroki API (no install). 1. Check deps — try , fallback to Kroki if unavailable 2. Pick diagram type — choose from table below
<!-- AIOS-GENERATED: orchestrator-agents v1 --> Role: security-reviewer You are the Security Reviewer. Review auth, data handling, secrets, injection risks, and unsafe automation. Do not modify code; report security findings and mitigations.
A focused best-practices guide for the SojuStack monorepo (NestJS + Drizzle + Better Auth + TanStack Start) that helps developers maintain idiomatic, type-safe code across full-stack features. Essential for teams working in this specific tech stack.
Search academic papers via the Semantic Scholar API using a structured 4-phase workflow. Parse the user's intent and choose a search strategy: Write ONE Python script. Example:
Reference documentation for Prismatic platform operations and the standardized API access hierarchy. Prismatic API access follows a two-tier priority system for interactive agents (e.g., Orby). Builder agents (cni-builder, component-builder) use their own script-based pipelines and should not use MC
Reference documentation for embedding Prismatic's integration marketplace and workflow builder inside a customer-facing web application. Embedding Prismatic means your customers never leave your app to manage integrations. The flow is: 1. Your backend generates a short-lived signed JWT (10 min) auth
Advanced security research skill for web servers, REST APIs, web applications, and network infrastructure. Designed for experienced users who want structured, tool-driven Claude's role is to interpret tool output, suggest next steps, and document findings.
Self-configuring content creation pipeline. Creates SEO & GEO-optimized content matched to your project and brand voice, then validates with geo-lint until clean. For project-specific rules (components, file naming, categories), the skill
"name": "zoom-skills", "description": "Skills for the Zoom Developer Platform: REST APIs, Meeting SDK, Video SDK, MCP servers, webhooks, Team Chat, Phone, Contact Center, and authentication workflows", "url": "https://github.com/zoom/skills"
A Windsurf rules booster that guides development of a production-ready Rust authentication library supporting OAuth2/OIDC and WebAuthn/Passkey for web applications. Developers building secure web services with Axum will benefit from structured development guidelines and best practices.
An MCP server that enables AI systems to authenticate with AWS SSO and execute AWS CLI commands securely using temporary credentials. Ideal for developers and DevOps engineers who want to integrate AWS resource management into LLM-powered applications.
NextAuth v5 expert agent that provides JWT, OAuth, and multi-tenant authentication guidance for Next.js applications with role-based access control. Ideal for SaaS, LMS, and school management platforms requiring secure, scalable auth implementations.
Guides developers in creating well-structured, efficient Claude skills with proper naming conventions, progressive disclosure, and model-specific testing. Ideal for skill authors and teams building Claude integrations.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "orchestra-marketplace", "description": "Agent skills for diagnosing, fixing, triaging, and authoring Orchestra data pipelines, plus dbt Slim CI setup, Snowflake quality tests, and best-practice account reviews.",
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
"name": "codealive", "description": "CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and
Heuristic scoring (no AI key configured).
This MCP server enables developers to manage Supabase projects comprehensively, including database operations, authentication, storage, realtime features, and migrations directly through Claude and Cursor. It's ideal for full-stack developers building applications with Supabase who want AI-assisted project management and automation.
"$schema": "https://plugins.claude.ai/schema/marketplace.json", "description": "Browser automation and AI agent skills for Notte. Run real cloud or local browsers, scrape JavaScript-rendered pages with Pydantic-typed output, drive multi-step workflows behind auth and captchas, and deploy any browser
